Head of Flight Operations Engineering | Aerospace engineer | AI researcher | Founder | Autonomous systems builder
I work across airline operations, civil aviation, artificial intelligence, robotics, flight simulation, and autonomous systems. My projects connect operational aviation with practical engineering: pilot-state monitoring, realistic flight simulation, visual autonomy, multi-vehicle operations, and field-ready developer tools.
- Head of Flight Operations Engineering at ANAJet Airlines, supporting launch-stage operations in Tehran and Kish
- Founder and CEO of AwareAI
- PhD in Aerospace Engineering, Sharif University of Technology
- Flight Test Laboratory Instructor
- CPL/IR pilot with ATP Integrated theoretical ground training completed
- Open to international research, technical leadership, advisory, and commercial collaboration
| Project | Engineering scope |
|---|---|
| MDS - Mission-Directed Swarm | An open-source MAVLink fleet operations platform for PX4 drones, simulation, synchronized drone shows, search-and-rescue workflows, cooperative autonomy, and operational validation. |
| PixEagle | A modular computer-vision and autonomous tracking suite for PX4 drones and ground vehicles, combining OpenCV, YOLO, MAVSDK, streaming, telemetry, and a real-time web dashboard. |
| PX4-XPlane | A cross-platform X-Plane plugin connecting PX4 SITL with realistic aircraft simulation for fixed-wing, multirotor, hybrid VTOL, and advanced-air-mobility research. |
| Python Gaze and Face Tracker | A real-time eye, iris, facial-landmark, blink, head-pose, and gaze tracking toolkit for aviation research, human-computer interaction, and interactive systems. |
| DroneSphere | An MCP-based interface for structured natural-language interaction with PX4 simulation and drone workflows, combining deterministic safety checks with AI-agent orchestration. |
| MAVLink Anywhere | A portable MAVLink routing dashboard for companion computers, ground-control links, LTE, Wi-Fi, VPNs, UDP, serial connections, and field telemetry. |
- Relationships Between Pilot Gaze Patterns and Control Lapses in Challenging Instrument Approach Flight - The International Journal of Aerospace Psychology, 2025
- Real-Time Pilot Cognitive Monitoring via Multimodal Fusion of Gaze and Control Signals: A Wavelet Scalogram Deep Learning Approach - Lecture Notes in Networks and Systems, 2025
- Enhancing Pilot Vigilance Assessment: The Role of Flight Data and Continuous Performance Test in Detecting Random Attention Loss in Short IFR Flights - Journal of Air Transport Management, 2024
- Aviation: flight operations engineering, aircraft performance, procedure support, flight testing, human factors, fatigue risk management, simulation, and airline analytics
- AI: multimodal learning, computer vision, gaze and head-pose tracking, AI agents, MCP, and human-in-the-loop systems
- Robotics: PX4, MAVLink, MAVSDK, cooperative autonomy, mission planning, perception, and field validation
- Software: Python, C/C++, MATLAB, React, FastAPI, Docker, Linux, APIs, and real-time telemetry
Portfolio | CV | Digital vCard | LinkedIn | ORCID | YouTube
For serious collaboration: p30planets@gmail.com